In-Vehicle Image Capture Linked to Behavior Changes
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Solution Overview
Problem
In existing systems, users face difficulties in extracting specific images from a large collection without pre-designated positions, making it challenging to automatically store images related to specific memories.
Innovation Solution
An information processing apparatus and method that automatically stores images by associating them with behavior information, such as driving and motion data, and captures images when changes in user behavior are detected, using an in-vehicle imaging unit and voice input, allowing for automatic image storage and retrieval.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If images are captured and stored without designating specific positions, then the number of captured images increases, but it becomes difficult to extract images related to specific memories
Solution Approach 1:
The system performs preliminary actions by detecting changes in behavior information (driving patterns, motion, voice) before images are captured. This allows the system to pre-identify moments worth capturing, ensuring that when images are stored, they are already associated with meaningful behavioral contexts that enable easy extraction later.
Solution Approach 2:
The system uses feedback from behavior information detection to control image capture. By continuously monitoring driving information, motion information, and voice information, the system receives feedback about user state changes and uses this feedback to determine when to capture images, creating a closed-loop system that ensures captured images are relevant to specific memories.
2Ease of manufacture
If manual position designation is required for image capture, then image storage becomes simple, but user operation becomes complex and time-consuming
Solution Approach 1:
The system performs self-service by automatically detecting behavior information changes and triggering image capture without requiring user intervention. The imaging unit, behavior information acquisition unit, and determination unit work together to autonomously identify and capture meaningful moments, eliminating the need for manual position designation while maintaining system simplicity.
Solution Approach 2:
The system replaces the mechanical action of manual position designation with automated detection of behavior information changes. Instead of requiring physical user input to select capture positions, the system uses sensors and processors to detect changes in driving patterns, motion, and voice, substituting automated information processing for manual operation.
3Extent of automation
If behavior information is continuously monitored to detect changes, then automatic image storage becomes possible, but system complexity increases
Solution Approach 1:
The system segments behavior information monitoring into distinct, independent modules: driving information acquisition, motion information acquisition, and voice information acquisition. Each module handles a specific type of data, and the determination unit processes these segmented inputs separately before making capture decisions, reducing overall system complexity through modular design.
Solution Approach 2:
The determination unit serves multiple functions by processing different types of behavior information (driving, motion, voice) through a unified change-detection mechanism. This multi-functional approach allows the system to achieve high automation without proportionally increasing complexity, as the same core logic handles multiple information types.
Data Source
AI summary
An information processing apparatus communicable with a vehicle includes a controller. The controller is configured to store behavior information of a user in the vehicle in association with a date and time, acquire an image via an imaging unit of the vehicle when a difference between behavior information at a specific time and behavior information at a time later than the specific time is detected, an store the image in association with the date and time and the behavior information.